Association of Declining Prostate-specific Antigen Levels with Clinical Outcomes in Patients with Metastatic Castration-resistant Prostate Cancer Receiving [177Lu]Lu-PSMA-617 in the Phase 3 VISION Trial
Bibliographic record
Abstract
Declining prostate-specific antigen levels during [ 177 Lu]Lu-PSMA-617 treatment of prostate-specific membrane antigen (PSMA)-positive metastatic castration-resistant prostate cancer were strongly associated with prolonged radiographic progression-free survival, overall survival, and time to health-related quality-of-life worsening. These findings demonstrate the prognostic importance of this biomarker in patients receiving PSMA-targeted radioligand therapy. The prognostic value of declining prostate-specific antigen (PSA) levels is under investigation in patients with prostate-specific membrane antigen (PSMA)-positive metastatic castration-resistant prostate cancer (mCRPC) receiving PSMA-targeted radioligand therapy with [ 177 Lu]Lu-PSMA-617 ( 177 Lu-PSMA-617). This post hoc analysis of the phase 3 VISION trial aimed to evaluate associations between PSA decline and clinical and patient-reported outcomes in patients receiving 177 Lu-PSMA-617. Of 831 enrolled patients with PSMA-positive progressive mCRPC treated previously with one or more androgen receptor pathway inhibitors and one to two taxanes, 551 were randomised to 177 Lu-PSMA-617 plus protocol-permitted standard of care (SoC). Radiographic progression-free survival, overall survival, radiographic objective response rate, and patient-reported health-related quality of life (HRQoL) and pain were analysed in subgroups of patients categorised by the magnitude of unconfirmed PSA decline from baseline. Patients randomised to 177 Lu-PSMA-617 with the best PSA declines of ≥0–<50% (96/551 [17%]), ≥50–<90% (152/551 [28%]), and ≥90% (83/551 [15%]) up to and including week 12 had 61%, 72%, and 88% reduced risks of radiographic disease progression or death, and 51%, 70%, and 87% reduced risks of death, respectively, versus those with increased PSA levels (160/551 [29%]), based on hazard ratios in a multivariate Cox proportional hazard model. In patients with greater PSA declines, radiographic responses were more frequent and median time to worsening in HRQoL and pain scores were longer. The magnitude of PSA decline was associated with improvement in clinical and patient-reported outcomes in patients with mCRPC receiving 177 Lu-PSMA-617 plus SoC in VISION. PSA decline therefore appears to have a prognostic value during 177 Lu-PSMA-617 treatment in this population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".